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sketch2ae

Editable After Effects layers from Sketch artboards

slm-lab

An experimentation framework for Reinforcement Learning using Unity, OpenAI Gym, and PyTorch.

socialite

Social Data Reference Architecture - This Repository is NOT a supported MongoDB product

sofa

solana-web3.js

Solana JavaScript SDK

solidity-examples

Example Ethereum Solidity Contracts

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spark

Apache Spark

spark-ml-streaming

Visualize streaming machine learning in Spark

spark-twitter-watson-dashboard

Real-time dashboard for Twitter Sentiment analysis using Spark Streaming and Watson Tone Analyzer

spark.samples

tutorials and samples that show you how get the most out of IBM Analytics for Apache Spark

sparklab

sparksummitdemo

PySpark Notebook and Shiny App for Demo

spring-framework

The Spring Framework

spring-integration-kafka

squbs

Akka Streams & Akka HTTP for Large-Scale Production Deployments

starbase

HBase Stargate (REST API) client wrapper for Python.

stardog-docs

Stardog Docs

stardog-examples

Examples for working with and extending Stardog

starling-api-mobile-starter-kit

A react native application starter kit to integrate with Starling's developer API

starling-developer-sdk

The official JavaScript development kit for building on the Starling API

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocks-dashboard-lab

This lab teaches you how to create a realtime dashboard of stock prices using Hortonworks Data Platform and NiFi

storm

Mirror of Apache Storm

study-group

Deep Learning Study Group

summit-health-machine-learning

This code pattern shows you how to train a machine learning model to predict type 2 diabetes using synthesized patient health records.

summit-health-synthea

Summit Health is a conceptual healthcare/insurance type company. This repository contains the tools we used to populate the databases with synthesized patient data.

superslides

A fullscreen, hardware accelerated slider for jQuery.

swagger-spec

The Swagger Specification Repository

swagger.io

The content of